• Title/Summary/Keyword: cluster tool

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Combating Poverty in Malaysia: The Role of Zakat

  • ZULKIFLI, Muhammad Faris;TAHA, Roshaiza;AWANG, Rohila @ Norhamizah;MOHD NOR, Mohd Nazli;ALI, Azwadi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.505-513
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    • 2021
  • Poverty is often referred to as a phenomenon of scarcity, inadequacy or instability of income. Besides, poverty can also cause health issues, exacerbate social problems, leading to isolation, discrimination and loss of a bright future. Lately, the role of zakat (the compulsory giving of a set proportion of one's wealth to charity) as a useful tool in combating poverty has been highlighted since zakat collected will be distributed specifically to the poor and needy groups. This paper seeks to assess the role of zakat in combating poverty among recipients. A questionnaire was distributed to 300 participants selected from the list of recipients who received assistance from Zakat institutions. A cluster random sampling has been utilized to select sampling from the target population. The data were analyzed using SPSS to provide descriptive analysis. Past evidence has shown how zakat has able to transform the recipient into a payer especially through education or business assistance. Proper management of zakat institution is seen as a powerful mechanism to facilitate community development and to strengthen the Muslim economy. Results show the importance of zakat in the effort to eradicate poverty and further able to improve the asnaf's quality of life.

A Study on Geographical Market Segmentation of Island Tourists (섬 관광객의 지리적 시장세분화에 관한 연구)

  • Lee, Jin-Hee
    • The Journal of Fisheries Business Administration
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    • v.49 no.4
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    • pp.53-68
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    • 2018
  • The industrial structure of Chuja Island is mainly occupied by fisheries. Since the fisheries resources have been depleted and the marine environment has been changed, the fishery industry has been hard to survive. It is the time when residents are looking for a breakthrough in the tourism industry. Market segmentation is a valuable tool in the establishment of marketing strategies. Segmentation of tourists by the same desire and motivation is an essential factor in identifying the characteristics of tourists. The research on market segmentation of tourism sector focuses mainly on demographic subdivision, psychological subdivision, and behavioral subdivision, so it is urgent to study geographical market segmentation. The purpose of this study is to present data that can be used to establish a marketing strategy for tourism promotion in Chuja Island by analyzing the tourism activities via subdivision market according to demographic characteristics, tourism behavior characteristics, and tourism motivation after grasping the geographical segment of tourists through empirical analysis. In this study, 285 valid samples were analyzed by frequency analysis, ${\chi}^2$ test, cluster analysis and ANOVA test.

An Efficient Markerless Deletion System Suitable for the Industrial Strains of Streptomyces

  • Dong, Jianxin;Wei, Jiaxiu;Li, Han;Zhao, Shiyao;Guan, Wenjun
    • Journal of Microbiology and Biotechnology
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    • v.31 no.12
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    • pp.1722-1731
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    • 2021
  • The genus Streptomyces is intensively studied due to its excellent ability to produce secondary metabolites with diverse bioactivities. In particular, adequate precursors of secondary metabolites as well as sophisticated post modification systems make some high-yield industrial strains of Streptomyces the promising chassis for the heterologous production of natural products. However, lack of efficient genetic tools for the manipulation of industrial strains, especially the episomal vector independent tools suitable for large DNA fragment deletion, makes it difficult to remold the metabolic pathways and streamline the genomes in these strains. In this respect, we developed an efficient deletion system independent of the episomal vector for large DNA fragment deletion. Based on this system, four large segments of DNA, ranging in length from 10 kb to 200 kb, were knocked out successfully from three industrial Streptomyces strains without any marker left. Notably, compared to the classical deletion system used in Streptomyces, this deletion system takes about 25% less time in our cases. This work provides a very effective tool for further genetic engineering of the industrial Streptomyces.

Development of Monthly Hydrological Cycle Assessment System Using Dynamic Water Balance Model Based on Budyko Framework (Budyko 프레임워크 기반 동적 물수지 모형을 활용한 월 단위 물순환 평가체계 개발)

  • Kim, Kyeung;Hwang, Soonho;Jun, Sang-Min;Lee, Hyunji;Kim, Sinae;Kang, Moon Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.2
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    • pp.71-83
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    • 2022
  • In this study, an indicator and assessment system for evaluating the monthly hydrological cycle was prepared using simple factors such as the landuse status of the watershed and topographic characteristics to the dynamic water balance model (DWBM) based on the Budyko framework. The parameters a1 of DWBM are introduced as hydrologic cycle indicators. An indicator estimation regression model was developed using watershed characteristics data for the introduced indicator, and an assessment system was prepared through K-means cluster analysis. The hydrological cycle assessment system developed in this study can assess the hydrological cycle with simple data such as land use, CN, and watershed slope, so it can quickly assess changes in hydrological cycle factors in the past and present. Because of this advantage is expected that the developed assessment system can predict changes in the hydrological cycle and use an auxiliary tool for policymaking.

The relationship between Consumption Behavior Characteristics and Golf Consumption Behavior According to the influence of Important Hitters of Golf Participants

  • Bae, Changhee;Park, Sunmun
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.253-262
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    • 2022
  • The purpose of this study is to investigate the influence of golf participants' major hitting factors on their consumption behavior characteristics and golf consumption behavior. To achieve this objective, the study subjects were set as the population aged 20 years or older who use golf courses and driving ranges in Gwangju Metropolitan City and Jeollanam-do, and then 158 males and 172 females using cluster random sampling. A total of 300 persons were selected as the study subjects. The survey tool was the questionnaire method, and among the tools that had already been used to verify the reliability and validity of the questionnaire in domestic and foreign previous studies, it was reused or modified or supplemented according to the variables of this study. The collected data were winter-processed according to the purpose of analysis using the SPSS statistical program as follows. The results obtained through this process are as follows. First, it was found that the major players participating in golf had partial differences in the characteristics of golf consumption behavior. Second, it was found that the major hitters participating in golf had a partial difference in their golf consumption behavior. Third, it was found that the golf consumption behavior characteristics of golf participants partially affected the golf consumption behavior.

The effect of missing levels of nesting in multilevel analysis

  • Park, Seho;Chung, Yujin
    • Genomics & Informatics
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    • v.20 no.3
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    • pp.34.1-34.11
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    • 2022
  • Multilevel analysis is an appropriate and powerful tool for analyzing hierarchical structure data widely applied from public health to genomic data. In practice, however, we may lose the information on multiple nesting levels in the multilevel analysis since data may fail to capture all levels of hierarchy, or the top or intermediate levels of hierarchy are ignored in the analysis. In this study, we consider a multilevel linear mixed effect model (LMM) with single imputation that can involve all data hierarchy levels in the presence of missing top or intermediate-level clusters. We evaluate and compare the performance of a multilevel LMM with single imputation with other models ignoring the data hierarchy or missing intermediate-level clusters. To this end, we applied a multilevel LMM with single imputation and other models to hierarchically structured cohort data with some intermediate levels missing and to simulated data with various cluster sizes and missing rates of intermediate-level clusters. A thorough simulation study demonstrated that an LMM with single imputation estimates fixed coefficients and variance components of a multilevel model more accurately than other models ignoring data hierarchy or missing clusters in terms of mean squared error and coverage probability. In particular, when models ignoring data hierarchy or missing clusters were applied, the variance components of random effects were overestimated. We observed similar results from the analysis of hierarchically structured cohort data.

Recommendation of tourist attractions based on Preferences using big data

  • KIM HYUN SEOK;Gi-hwan Ryu;kim im yeo-reum
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.327-331
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    • 2023
  • This paper proposes a tourist destination recommendation application that combines a chatbot and a recommendation system. The data to be entered into the chatbot was through big data on social media. Through TEXTOM, a total of 22,701 data were collected over a one-year period from January 2022 to January 2023. Non-terms that interfere with analysis were removed through the data purification process. Using refined data, network visualization and CONCOR analysis were used to identify the information users want to obtain about travel to Jeju Island, and categories for each cluster were organized. The content was intuitively organized so that even those who approached it for the first time could easily use it, reducing the difficulty of operating the application. In this paper, users can select their own preferences and receive information. In addition, a tool called a chatbot allows users to focus more on the process of acquiring information by gaining a sense of reality while operating the application. This suggests an application that can reach the purpose of the curator by affecting the user's desire to visit tourist attractions.

The Effects of Female College Students' Participation in Dance Sports on Body Attractiveness Recognition and Desire for Exercise

  • Jongsang Yoo;Sunmun Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.82-93
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    • 2023
  • The purpose of this study is to investigate the effect of female college students' participation in dance sports on their perception of body attractiveness and their desire for exercise. In order to achieve the purpose of this study, female college students residing in Gwangju Metropolitan City and Jeonnam in 2022 were selected as the population, and a total of 390 students were selected as study subjects using cluster random sampling. A total of 300 participants, 170 participants in dance sports and 130 non-participants, were selected as study subjects, excluding 90 copies of double entry and insincere data. As a survey tool, the questionnaire whose reliability and validity had already been verified in previous domestic and foreign studies was modified and supplemented to suit the purpose of this study. The collected data were computerized according to the purpose of analysis using SPSS Windows 20.0 Version, a statistical program. The results obtained through this procedure are as follows. First, there were partial differences in physical evaluation according to demographic characteristics. Second, there was a partial difference in exercise desire according to demographic characteristics. Third, physical evaluation was found to partially affect exercise desire.

Relationship between Immersion and Fun Perception of Leisure Sports Participants Leisure Attitude

  • Meng Xu;Sunmun Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.94-102
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    • 2023
  • The purpose of this study is to identify the effects of leisure sports participants' leisure attitudes on immersion and fun perception. As of 2021, the subject of this study was set as a population of adult males and females aged 20 and over who participate in leisure sports in Gwangju and the South, and then the cluster random sampling method was used. A total of 300 people, 150 boys and 150 women, were collected. A questionnaire was used as a survey tool, and a questionnaire whose validity and reliability were recognized in previous studies was modified and secured according to this study. In addition, all questionnaires were constructed on a 5-point scale. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, it was found that leisure sports participants' leisure attitudes partially affect immersion. Second, leisure sports participants' leisure attitudes were found to have a partial effect on their perception of fun. Third, it was found that the immersion of leisure sports participants partially affects the perception of fun.

The Effect of Sports Club Membership Lifestyle on Choice Behavior

  • Sunmun Park;Shuo LI
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.267-275
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    • 2023
  • The purpose of this study is to investigate the influence of sports center members' lifestyles on participation promotion and choice behavior. To this end, more specifically, we intend to establish and clarify a hypothetical model based on the preceding studies of facilitating factors and factors that continue to participate according to the lifestyle of sports center members. In order to achieve this research purpose, the study subjects were set as the population of male and female adults over 20 who are using sports centers in Gwangju Metropolitan City and Jeollanam-do in 2021. As for the sampling method, the sample was extracted using cluster random sampling, and 300 people were used for the actual analysis, excluding 60 copies of double-entry and insincere or unreliable questionnaires. The survey tool was modified and supplemented according to this study based on the questionnaire that had been verified for reliability and validity in previous studies, and all questionnaire items were composed of a 5-point scale. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, according to the lifestyle of sports center members, participation promotion factors were found to have a partial influence. Second, according to the lifestyle of sports center members, the selection behavior was found to have a partial influence. Third, it was found that the participation promotion factors of sports center members partially affected the choice behavior.